We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? # to your account
From the gallery example
from qdscreen import qd_screen # detect strict deterministic relationships qd_forest = qd_screen(df) # Fit selector model qd_forest.fit_selector_model(df)
yields
UserWarning: object dtype is not supported by sparse matrices warnings.warn("object dtype is not supported by sparse matrices")
It seems that this is not supported but works... https://stackoverflow.com/questions/47845327/convert-numpy-object-array-to-sparse-matrix
The text was updated successfully, but these errors were encountered:
Now filtering UserWarning. Updated changelog. See #20
09d2fa9
Fixed by #11 but apparently this also happens in the sklearn adapter:
from qdscreen.sklearn import QDScreen X = [[0, 2, 0, 3], [0, 1, 4, 3], [0, 1, 1, 3]] selector = QDScreen() Xsel = selector.fit_transform(X)
Sorry, something went wrong.
a22b39a
No branches or pull requests
From the gallery example
yields
It seems that this is not supported but works...
https://stackoverflow.com/questions/47845327/convert-numpy-object-array-to-sparse-matrix
The text was updated successfully, but these errors were encountered: